Difference between revisions of "FOSS4G-Europe 2015 Code Sprint"

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'''Goals:'''  
 
'''Goals:'''  
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The GRASS GIS community sprint will be longer than one day, please join at http://grasswiki.osgeo.org/wiki/GRASS_Community_Sprint_Como_2015
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'''See separate page: The GRASS GIS community sprint will be longer than one day, please join at http://grasswiki.osgeo.org/wiki/GRASS_Community_Sprint_Como_2015'''
  
 
== pycsw ==
 
== pycsw ==

Revision as of 05:06, 16 July 2015

Conference

Organizing Contacts

  • Luca DELUCCHI (Fondazione Edmund Mach)
  • Jachym CEPICKY (OpenGeoLabs s.r.o.)
  • Simone CORTI (Politecnico di Milano)
  • Jeff MCKENNA (Gateway Geomatics)
  • Marco NEGRETTI (Politecnico di Milano)
  • Stefano PIFFER (Trilogis)

Code Sprint

The code sprint represent an opportunity for the open source communities to get together, make future plans for their software projects, write code and documentation.

Projects can use the time and venue for organizational discussions, development roadmaps, and group resolution of thorny issues in their code bases.

When and where

The code sprint will be the 18th July 2015 in the LAPS room of Como Campus (Valleggio building, 1st floor). The room is booked from 8:00 to 18:00

Workgroups

To participate, start a section below for your project like this:

Project Name

Attending:

  • Add your self

Goals:

  • Add your goal

GRASS GIS

Attending:

  • Markus Neteler
  • Luca Delucchi
  • Margherita Di Leo
  • Anna Petrasova
  • Vaclav Petras
  • Martin Landa
  • Annalisa Minelli

Goals:

See separate page: The GRASS GIS community sprint will be longer than one day, please join at http://grasswiki.osgeo.org/wiki/GRASS_Community_Sprint_Como_2015

pycsw

Attending:

Goals:

QGIS

Attending:

Goals:

  • improving QGIS, work on QGIS 3.0

Geopaparazzi

Attending:

Goals:

  • OSM POI collection and upload to OSM accounts for version 4
  • Creation of the Geopaparazzi 4 manual

OSGeo-Live

Attending:

Goals
  • ..

istSOS

Attending:

Goals:

  • Support and analyse GSoC 2015 developments (Scalability for Big data processing)

Individual preparation